Simulación de tráfico vehicular en un tramo de la Av. Manuelita Sáenz comprendido entre las calles Pío de Baroja y Antonio Clavijo sector Paseo Shopping Ambato

Abstract

ABSTRACT The objective of the research is to carry out a simulation of vehicular traffic through the use of free software and a macroscopic model, to optimize the vehicular flow in the section of Avenida Manuelita Sáenz between Pío de Baroja and Antonio Clavijo streets, Paseo Shopping Ambato. The study began with a field phase aimed at collecting data on traffic densities, average traffic speeds and traffic flows in each of the four sub-sections that comprise the road system of interest, on different days and times. Subsequently, a data processing and analysis phase was developed, which aims to present descriptive statistics for the identification of minimum, average and maximum values of each parameter. The third phase consisted in the application of the macroscopic traffic model Lighthill-Whitham-Richards (LWR), solved by means of a numerical solution technique, with the boundary conditions and the incorporation of linear functions that express the speed relationship and the density of traffic, the latter was obtained using regression models. Among the results of the study, it stands out that the highest flows are presented at 6:30 p.m. throughout the section. The highest traffic flow of those registered was 1140 vehicles per hour, for vehicles entering from Av. Manuelita Sáenz, north-south direction towards intersection A. Traffic densities were similar for the four sub-sections, the maximum peak reached being 16 cars per sub-section. Although the section that presents the greatest fluctuation in speed and traffic density is the BA, which denotes that it is the most conflictive, since it restricts the free flow of cars on a more recurrent basis. N simulations were carried out in a period of one hour, taking into account the traffic light times, each simulation represents an event and in the end the cars that would circulate in that time were counted.